Real-Time Data Tech | Tim Spann

The content emphasizes the integration of real-time data processing technologies, particularly focusing on tools like Apache NiFi, Kafka, and Flink. Key themes include building data pipelines for various applications, such as urban transit and financial services, along with the use of generative AI. Presentations also highlight codeless generative AI solutions for managing unstructured data, the importance of vector databases like Milvus, and their role in enhancing AI capabilities across industries.

CoC25US - NiFi Man - “We're here – but should we have come_”
CoC25US - Utilizing Real-Time Transit Data for Travel Optimization
CoC25US_ Enhancing Apache NiFi 2.x with Python Processors
14May2025_TSPANN_FromAirQualityUnstructuredData.pdf
Streaming AI Pipelines with Apache NiFi and Snowflake NYC 2025
Streaming AI Pipelines with Apache NiFi and Snowflake 2025
Streaming Data and AI with Apache NiFi and Snowflake
2025-03-03-Philly-AAAI-GoodData-Build Secure RAG Apps With Open LLM
Conf42_IoT_Dec2024_Building IoT Applications With Open Source
2024 Dec 05 - PyData Global - Tutorial Its In The Air Tonight
2024Nov20-BigDataEU-RealTimeAIWithOpenSource
TSPANN-2024-Nov-CloudX-Adding Generative AI to Real-Time Streaming Pipelines
2024-Nov-BuildStuff-Adding Generative AI to Real-Time Streaming Pipelines
14 November 2024 - Conf 42 - Prompt Engineering - Codeless Generative AI Pipelines_ Prompt Automation
2024 Nov 05 - Linux Foundation TAC TALK With Milvus
2024-10-28 All Things Open - Advanced Retrieval Augmented Generation (RAG) Techniques
10-25-2024_BITS_NYC_Unstructured Data and LLM_ What, Why and How
2024-OCT-23 NYC Meetup - Unstructured Data Meetup - Unstructured Halloween
DBTA Round Table with Zilliz and Airbyte - Unstructured Data Engineering
17-October-2024 NYC AI Camp - Step-by-Step RAG 101